Working Student – AI-Enabled Business Analysis, Automation

Allianz

. Support the Business Analyst Chapter Lead in improving the chapter’s methods and tools, with a focus on AI-assisted requirements analysis, knowledge management, and automation .

Posted 10/21/2026part-timeFrankfurt • GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in Python programming and AI-assisted requirements analysis, with a strong focus on developing prototypes and automating workflows. Capable of collaborating effectively with business analysts to enhance documentation quality and ensure secure handling of sensitive information.

Highest-signal resume keywords

Python ProgrammingAI-Assisted Requirements AnalysisPrototyping and Automation SolutionsAnalytical ThinkingInformation Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonBasic Testing PrinciplesGenerative AI ToolsRequirements EngineeringContext EngineeringRetrieval-Based ApproachesSQLAPIsWorkflow AutomationProcess Mapping

Soft Skills

Strong Analytical ThinkingProactive Working StyleOrganised ApproachEffective CommunicationCollaboration Skills

Tools & Technologies

Microsoft CopilotGit

Industry Keywords

Asset ManagementFinancial MarketsData ProtectionInformation SecurityUser StoriesAcceptance CriteriaAgile Methodologies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support the Business Analyst Chapter Lead in improving the chapter’s methods and tools, with a focus on AI-assisted requirements analysis, knowledge management, and automation
Develop and test lightweight prototypes, Python scripts, and automated workflows that address practical needs and simplify recurring tasks
Explore AI-assisted approaches to summarising stakeholder input, drafting user stories and acceptance criteria, and identifying gaps or inconsistencies in requirements
Structure and prepare business knowledge, terminology, and documentation for use in context-aware AI workflows, including experimentation with context engineering and retrieval approaches
Create representative test cases and evaluate prototypes and AI-generated outputs for accuracy, completeness, and consistency, documenting limitations and the need for human review
Collaborate with Business Analysts to understand their needs, gather feedback, and assess whether proposed solutions improve requirements quality or reduce manual effort
Support the Area Security Champion on topics connected to the role, particularly secure AI usage, sensitive information handling, and incorporating security considerations into requirements practices
Document experiments and findings and share reusable examples, guidance, and demonstrations to help colleagues adopt effective approaches
Develop an understanding of asset management and the business, technology, and regulatory environment in which Allianz Global Investors operates

Requirements

What you’ll need

Currently enrolled at a university in Computer Science, Business Informatics, Mathematics, Engineering, or a comparable quantitative or technology-focused field
Basic programming skills in Python, gained through coursework, personal projects, or practical experience, and an interest in building prototypes and automation solutions
Strong analytical thinking and the ability to structure information, investigate problems, and draw conclusions from evidence
Understanding of basic testing and evaluation principles, with an interest in assessing AI outputs and measuring the usefulness of proposed solutions
Initial familiarity with generative AI tools and an interest in prompting, context engineering, and retrieval-based approaches
Interest in business analysis and requirements engineering, including how business needs are translated into clear documentation, user stories, and acceptance criteria
Responsible approach to handling information and willingness to learn about data protection, information security, and the secure use of AI
Proactive and organised working style, with the ability to work independently on clearly defined tasks, document outcomes, and seek guidance when needed
Strong written and verbal communication skills in English and the ability to collaborate effectively in a global and culturally diverse environment
Interest in financial markets and asset management
Ability to use Microsoft Copilot, with a strong commitment to ethical and responsible AI practices
Exposure to APIs, SQL, Git, or workflow automation tools through studies, projects, or previous practical experience is preferred but not required
Familiarity with user stories, acceptance criteria, process mapping, or agile ways of working is preferred but not required
Experience organising knowledge or documentation for use with AI tools, including retrieval-augmented generation (RAG) approaches, is preferred but not required

Benefits

Comp & perks

Balanced work environment: A dynamic office culture that supports flexibility and collaboration
Mental health and wellbeing programs (EGYM Wellpass)
Mobility solutions (Subvention Jobticket, Deutschlandticket etc.)
Canteen subsidy
Corporate benefits